Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Save KLSD: Measurement, Overview & Plot

Save KLSD is a 2012 documentary film about the history and effects of media consolidation on democracy in the United States. Over the course of four and a half years, the producers attended media reform conferences, conducted research, and filmed interviews and presentations by leading media reform experts and commentators. In 2015 a one-hour version was…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Save KLSD topic overview

The analysis highlights Measurement, Overview and Plot as prominent areas in the source structure around Save KLSD.

Related topics
31
Source areas
2
Connected nodes
33
Extracted relationships
8
Concept neighborhoods
13
Bridge connections
33

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 25 topics
Plot · 6 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Directed by
Jon Monday
Distributed by
mondayMEDIA
Language
English
Produced by
Jon Monday and Jennifer Douglas
Release date
April 28, 2012 (2012-04-28)
Running time
101 minutes

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Plot

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Save KLSD connects Entity context

The extracted context around Save KLSD shows recurring relationship patterns in the source. For example, Save KLSD → Jon Monday Another extracted example is Save KLSD → mondayMEDIA. Use these groups to spot repeated connection types before inspecting the individual relationships.

Save KLSD

Top relations

Directed by · 1
Save KLSD → Jon Monday
Distributed by · 1
Save KLSD → mondayMEDIA
Language · 1
Save KLSD → English
Produced by · 1
Save KLSD → Jon Monday and Jennifer Douglas
Release date · 1
Save KLSD → April 28, 2012 (2012-04-28)
Running time · 1
Save KLSD → 101 minutes
is a · 1
Save KLSD → 2012 documentary film about the history and effects of media consolidation on democracy in the United States
related to External links · 1
Save KLSD → IMDbSan Diego Media Blog

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

klsd media jon save film 2012 consolidation local radio time produced jennifer douglas monday directed mondaymedia san diego history broadcast

Save KLSD relationships Subject–Predicate–Object triples

TTTA extracted 8 structured relationships around Save KLSD. Examples in this analysis include Save KLSD → Directed by → Jon Monday and Save KLSD → Distributed by → mondayMEDIA. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Save KLSDDirected byJon Monday1.00infobox
Save KLSDDistributed bymondayMEDIA1.00infobox
Save KLSDLanguageEnglish1.00infobox
Save KLSDProduced byJon Monday and Jennifer Douglas1.00infobox
Save KLSDRelease dateApril 28, 2012 (2012-04-28)1.00infobox
Save KLSDRunning time101 minutes1.00infobox
Save KLSDis a2012 documentary film about the history and effects of media consolidation on democracy in the United States0.90text
Save KLSDrelated to External linksIMDbSan Diego Media Blog0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Save KLSD bring nearby vocabulary together. In this analysis, examples include Save, Media and Consolidation. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Save KLSD
    • Save
    • Media
    • Consolidation
    • Diego
    • Film
    • San
    • Jon
    • Democracy
    • Documentary
    • Effects
    • States
    • United
  • save klsd
    • Save
    • Media
    • Consolidation
    • Diego
    • Film
    • San
    • Jon
    • Democracy
    • Documentary
    • Effects
    • States
    • United
  • media consolidation
    • History
    • Radio
    • Consolidation
    • Media
    • Film
    • Save
    • Klsd
    • Democracy
    • Diego
    • Documentary
    • Effects
    • San
  • media reform
    • Research
    • Years
    • Consolidation
    • Save
    • Radio
    • Diego
    • San
    • Attended
    • Conducted
    • Conferences
    • Course
    • Democracy
  • klsd
    • Save
    • Media
    • Consolidation
    • Diego
    • Film
    • San
    • Jon
    • Democracy
    • Documentary
    • Effects
    • States
    • United
  • san diego
    • Diego
    • San
    • Local
    • Talk
    • Klsd
    • Save
    • Media
    • Directed
    • Douglas
    • Jennifer
    • Market
    • Monday
  • time spent listening
    • Station
    • Directed
    • Douglas
    • Jennifer
    • Local
    • Market
    • Monday
    • Mondaymedia
    • Produced
    • Radio
    • Talk
    • Consolidation
  • jennifer douglas
    • Directed
    • Douglas
    • Jennifer
    • Monday
    • Mondaymedia
    • Produced
    • Jon
    • Local
    • Radio
    • Station
    • Talk
    • Diego

Connections between topic areas Semantic bridges

For Save KLSD, one of the stronger structural bridges in this analysis connects Save KLSD with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Save KLSD — Overview · splits 8 ⟂ 26
Save KLSD — Plot · splits 27 ⟂ 7

Map overview Semantic statistics

Save KLSD

Nodes34
Edges33
Triples8
Avg. degree1.94
Density0.058824
Components1

Source & methodology

TTTA analyzes the structure around Save KLSD to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Measurement, Overview & Plot, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Save KLSD · EN edition · Analysis: TopicsToTalkAbout

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.